Top Hybrid Data Engineering Jobs in Dallas-Fort Worth, TX

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

Lead development of scalable data solutions that integrate deep learning. Manage data quality, metadata, and facilitate cross-functional data initiatives for business value.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

Design and build scalable data pipelines using PySpark on Databricks, migrate ETL systems, and develop analytics dashboards and Python applications.

The CPQ Analyst will automate sales processes through Salesforce CPQ, collaborating with stakeholders to implement and maintain solutions, analyze requirements, and provide support.

The Data Architect will lead client data platform implementations, define architecture, establish data governance, and optimize data pipelines on Databricks. They will collaborate with stakeholders and mentor teams to deliver high-quality data solutions.

The Senior Database Administrator designs, manages, and optimizes SQL Server databases with a focus on Azure solutions, ensuring their performance, security, and compliance with regulations.

As a Data Architect, lead teams in modern data architecture and engineering, develop data pipelines, mentor juniors, and engage in client communication to enhance business solutions.